Anzahl der Publikationen: 3
	Zeitschriftenartikel
    Ratter-Rieck, Jacqueline M.; Shi, Mengya; Suhre, Karsten; Prehn, Cornelia; Adamski, Jerzy; Rathmann, Wolfgang; Thorand, Barbara  ORCID: https://orcid.org/0000-0002-8416-6440; Roden, Michael
ORCID: https://orcid.org/0000-0002-8416-6440; Roden, Michael  ORCID: https://orcid.org/0000-0001-8200-6382; Peters, Annette
ORCID: https://orcid.org/0000-0001-8200-6382; Peters, Annette  ORCID: https://orcid.org/0000-0001-6645-0985; Wang-Sattler, Rui und Herder, Christian
ORCID: https://orcid.org/0000-0001-6645-0985; Wang-Sattler, Rui und Herder, Christian  ORCID: https://orcid.org/0000-0002-2050-093X
  
(2024):
		Omentin associates with serum metabolite profiles indicating lower diabetes risk: KORA F4 Study.
	
	 In: BMJ Open Diabetes Research & Care, Bd. 12, Nr.  2, e003865
      
        
          
             [PDF, 1MB]
ORCID: https://orcid.org/0000-0002-2050-093X
  
(2024):
		Omentin associates with serum metabolite profiles indicating lower diabetes risk: KORA F4 Study.
	
	 In: BMJ Open Diabetes Research & Care, Bd. 12, Nr.  2, e003865
      
        
          
             [PDF, 1MB]
          
        
      
 
    Yu, Shixiang  ORCID: https://orcid.org/0000-0002-7065-9754; Han, Siyu
ORCID: https://orcid.org/0000-0002-7065-9754; Han, Siyu  ORCID: https://orcid.org/0000-0001-8709-5564; Shi, Mengya; Harada, Makoto
ORCID: https://orcid.org/0000-0001-8709-5564; Shi, Mengya; Harada, Makoto  ORCID: https://orcid.org/0000-0002-6209-7683; Ge, Jianhong
ORCID: https://orcid.org/0000-0002-6209-7683; Ge, Jianhong  ORCID: https://orcid.org/0009-0003-2142-9084; Li, Xuening; Cai, Xiang; Heier, Margit
ORCID: https://orcid.org/0009-0003-2142-9084; Li, Xuening; Cai, Xiang; Heier, Margit  ORCID: https://orcid.org/0000-0002-7317-7566; Karstenmüller, Gabi; Suhre, Karsten
ORCID: https://orcid.org/0000-0002-7317-7566; Karstenmüller, Gabi; Suhre, Karsten  ORCID: https://orcid.org/0000-0001-9638-3912; Gieger, Christian
ORCID: https://orcid.org/0000-0001-9638-3912; Gieger, Christian  ORCID: https://orcid.org/0000-0001-6986-9554; Koenig, Wolfgang
ORCID: https://orcid.org/0000-0001-6986-9554; Koenig, Wolfgang  ORCID: https://orcid.org/0000-0002-2064-9603; Rathmann, Wolfgang
ORCID: https://orcid.org/0000-0002-2064-9603; Rathmann, Wolfgang  ORCID: https://orcid.org/0000-0001-7804-1740; Peters, Annette
ORCID: https://orcid.org/0000-0001-7804-1740; Peters, Annette  ORCID: https://orcid.org/0000-0001-6645-0985 und Wang-Sattler, Rui
ORCID: https://orcid.org/0000-0001-6645-0985 und Wang-Sattler, Rui  ORCID: https://orcid.org/0000-0002-8794-8229
  
(2024):
		Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function.
	
	 In: Metabolites, Bd. 14, Nr.  5, 258
      
        
          
             [PDF, 15MB]
ORCID: https://orcid.org/0000-0002-8794-8229
  
(2024):
		Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function.
	
	 In: Metabolites, Bd. 14, Nr.  5, 258
      
        
          
             [PDF, 15MB]
          
        
      
 
    Shi, Mengya; Han, Siyu; Klier, Kristin; Fobo, Gisela; Montrone, Corinna; Yu, Shixiang; Harada, Makoto; Henning, Ann-Kristin; Friedrich, Nele; Bahls, Martin; Dörr, Marcus; Nauck, Matthias; Völzke, Henry; Homuth, Georg; Grabe, Hans J.; Prehn, Cornelia; Adamski, Jerzy; Suhre, Karsten; Rathmann, Wolfgang; Ruepp, Andreas; Hertel, Johannes; Peters, Annette  ORCID: https://orcid.org/0000-0001-6645-0985 und Wang-Sattler, Rui
  
(2023):
		Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts.
	
	 In: Cardiovascular Diabetology, Bd. 22, Nr.  1, 141
      
        
          
             [PDF, 2MB]
ORCID: https://orcid.org/0000-0001-6645-0985 und Wang-Sattler, Rui
  
(2023):
		Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts.
	
	 In: Cardiovascular Diabetology, Bd. 22, Nr.  1, 141
      
        
          
             [PDF, 2MB]
          
        
      
 
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